Instructions to use hiwden00/tiny-en-resampling with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hiwden00/tiny-en-resampling with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="hiwden00/tiny-en-resampling")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("hiwden00/tiny-en-resampling") model = AutoModelForSpeechSeq2Seq.from_pretrained("hiwden00/tiny-en-resampling", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from hiwden00/tiny-en-resampling: direct link, hf CLI and curl.
- Browser
- Download file 151 MB
-
https://huggingface.co/hiwden00/tiny-en-resampling/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://hiwden00/tiny-en-resampling/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hiwden00/tiny-en-resampling/resolve/main/pytorch_model.bin
151 MB
- Xet hash:
- 39f638d45c1ab768e6031e3f00eb3ba2a3708be88dbc115badb5b92eb7e38dfb
- Size of remote file:
- 151 MB
- SHA256:
- da811403a9b37ea964d3af18c87a996dc0f4d9cc7432f2622e0df1d0fb813036
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